Evidence map›Paper›PMID 39696030›Full record

ArticleBMC infectious diseases2024

Factors influencing the time to COVID-19 antigen tests negative conversion among students at a Chinese university: a retrospective analysis.

Wenjin Liu, You Jin, Yongyan Wu, Zhenni Xiao, Yan Xu, Zhaohong Du, Jianmei Xiao, Zhipeng Yan

Abstract read
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Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wenjin Liu *Outpatient Department, Guangzhou University, Guangzhou, 510006, China.
You Jin *Outpatient Department, Guangzhou University, Guangzhou, 510006, China.
Yongyan WuOutpatient Department, Guangzhou University, Guangzhou, 510006, China.
Zhenni XiaoOutpatient Department, Guangzhou University, Guangzhou, 510006, China.
Yan XuOutpatient Department, Guangzhou University, Guangzhou, 510006, China.
Zhaohong DuOutpatient Department, Guangzhou University, Guangzhou, 510006, China.
Jianmei XiaoOutpatient Department, Guangzhou University, Guangzhou, 510006, China.
Zhipeng YanOutpatient Department, Guangzhou University, Guangzhou, 510006, China. zhipeng.yan@gzhu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause repeated infections. China experienced an outbreak of COVID-19 (coronavirus disease 2019) after the Chinese government changed its COVID-19 policy in December 2022. However, little is known about the influencing factors, such as a history of previous infection and vaccine dose, and whether these factors affect the time at which the antigen test results become negative for SARS-CoV-2. Boarding colleges and universities are prone to outbreaks caused by COVID-19. Therefore, we investigated the factors influencing the time of COVID-19 antigen tests conversion at one university from April to June 2023.

methodsThis study included college students from one university in Guangzhou who tested positive for the COVID-19 antigen and collected information such as sex, history of previous COVID-19 infection, vaccination dose, symptom onset date, and antigen tests conversion date for retrospective analysis. Chi-square tests or t-tests were used to compare differences between groups.

resultsA total of 255 college students were included in this study. In addition to fever, the most common symptoms were sore throat, nasal symptoms and fatigue. The average time to antigen tests negative conversion of patients with their first infection was 6.12 ± 1.83 days, and that of patients with their second infection was 4.70 ± 1.43 days. The difference between the groups was statistically significant (P < 0.001). The average time to antigen tests negative conversion was 6.21 ± 1.92 days in patients with more than 3 symptoms except fever, which was significantly greater than that in patients with 0-1 (5.54 ± 1.79 days) or 2-3 symptoms (5.45 ± 1.78 days) (P < 0.05). There was no significant difference in time to antigen tests negative conversion according to sex, health observation location or vaccination dose (P > 0.05).

conclusionIn college students, a history of SARS-CoV-2 infection as well as the number of symptoms were significantly associated with the time to COVID-19 antigen tests conversion.

Indexed as

COVID-19SARS-CoV-2StudentsAdolescentAdultAntigens, ViralChinaCOVID-19 Serological TestingFemaleHumansMaleRetrospective StudiesTime FactorsUniversitiesYoung AdultAntigens, ViralCOVID-19Retrospective studySymptomTime to antigen tests conversionUniversity student

Identifiers

PMID39696030
PMCPMC11653932

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.